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| 1 | Efficacy of peroxisome proliferative activated receptor (PPAR)-α ligands, fenofibrate, on intimal hyperplasia and constrictive remodeling after coronary angioplasty in porcine models显示文摘 | Takatoshi Kasai Katsumi Miyauchi Takayuki Yokoyama Kouichiro Aihara Hiroyuki Daida | 2005 | Atherosclerosis2005，，2： | 1 |
| 2 | The relationship between the metabolic syndrome defined by various criteria and the extent of coronary artery disease显示文摘 | Takatoshi Kasai Katsumi Miyauchi Naozumi Kubota Hiroshi Tamura Takahiko Kojima Ken Yokoyama Takeshi Kurata Hiroyuki Daida | 2007 | Atherosclerosis2007，，2： | 1 |
| 3 | Circulating oxidized low-density lipoprotein is an independent predictor for cardiac event in patients with coronary artery disease显示文摘 | Kazunori Shimada Hiroshi Mokuno Eriko Matsunaga Tetsuro Miyazaki Katsuhiko Sumiyoshi Katsumi Miyauchi Hiroyuki Daida | 2004 | Atherosclerosis2004，，2： | 1 |
| 4 | Early Statin Treatment in Patients With Acute Coronary Syndrome: Demonstration of the Beneficial Effect on Atherosclerotic Lesions by Serial Volumetric Intravascular Ultrasound Analysis During Half a Year After Coronary Event: The ESTABLISH Study显示文摘 | Shinya Okazaki Takayuki Yokoyama Katsumi Miyauchi Kazunori Shimada Takeshi Kurata Hitoshi Sato Hiroyuki Daida | 2004 | Circulation2004，，9： | 1 |
| 5 | Effect of Intensive Statin Therapy on Regression of Coronary Atherosclerosis in Patients With Acute Coronary Syndrome显示文摘 | Takafumi Hiro Takeshi Kimura Takeshi Morimoto Katsumi Miyauchi Yoshihisa Nakagawa Masakazu Yamagishi Yukio Ozaki Kazuo Kimura Satoshi Saito Tetsu Yamaguchi Hiroyuki Daida Masunori Matsuzaki | 2009 | Journal of the American College of Cardiology2009，，4： | 1 |
| 6 | Early intensive statin treatment for six months improves long-term clinical outcomes in patients with acute coronary syndrome (Extended-ESTABLISH trial): A follow-up study显示文摘 | Tomotaka Dohi Katsumi Miyauchi Shinya Okazaki Takayuki Yokoyama Naotake Yanagisawa Hiroshi Tamura Takahiko Kojima Ken Yokoyama Takeshi Kurata Hiroyuki Daida | 2009 | Atherosclerosis2009，，2： | 1 |
| 7 | Characteristics of Coronary Heart Disease in Japanese Taxi Drivers as Determined by Coronary Angiographic Analyses 显示文摘 | Kyouko Kurosaka Hiroyuki Daida Takashi Muto | 2000 | Industrial Health2000，38，1： | 1 |
| 8 | One-Year Atherothrombotic Vascular Events Rates in Outpatients with Recent Non-Cardioembolic Ischemic Stroke: The EVEREST (Effective Vascular Event REduction after STroke) Registry显示文摘 | Norihiro Suzuki Motoki Sato Kiyohiro Houkin Yasuo Terayama Shinichiro Uchiyama Hiroyuki Daida Hiroshi Shigematsu Shinya Goto Kortaro Tanaka Hideki Origasa Susumu Miyamoto Kazuo Minematsu Masayasu Matsumoto Yasushi Okada | 2012 | Journal of Stroke and Cerebrovascular Diseases2012，，4： | 1 |
| 9 | A novel method for non-invasive plaque morphology analysis by coronary computed tomography angiography显示文摘 | Shinichiro Fujimoto Takeshi Kondo Takahide Kodama Yasuko Fujisawa John Groarke Kanako K. Kumamaru Kazuhisa Takamura Eriko Matsunaga Katsumi Miyauchi Hiroyuki Daida Frank J. Rybicki | 2014 | The International Journal of Cardiovascular Imaging2014，，： | 1 |
| 10 | Promoter polymorphism in the CD14 gene and concentration of soluble CD14 in patients with in-stent restenosis after elective coronary stenting显示文摘 | Kazunori Shimada Katsumi Miyauchi Hiroshi Mokuno Yoshiro Watanabe Yoshitaka Iwama Mariko Shigekiyo Megumi Matsumoto Shinya Okazaki Kosei Tanimoto Takeshi Kurata Hitoshi Sato Hiroyuki Daida | 2003 | International Journal of Cardiology2003，，： | 1 |
| 11 | Early intensive statin treatment for six months improves long-term clinical outcomes in patients with acute coronary syndrome (Extended-ESTABLISH trial): A follow-up study显示文摘 | Tomotaka Dohi Katsumi Miyauchi Shinya Okazaki Takayuki Yokoyama Naotake Yanagisawa Hiroshi Tamura Takahiko Kojima Ken Yokoyama Takeshi Kurata Hiroyuki Daida | 2009 | Atherosclerosis2009，，2： | 1 |
| 12 | Early Statin Treatment in Patients With Acute Coronary Syndrome: Demonstration of the Beneficial Effect on Atherosclerotic Lesions by Serial Volumetric Intravascular Ultrasound Analysis During Half a Year After Coronary Event: The ESTABLISH Study显示文摘 | Shinya Okazaki Takayuki Yokoyama Katsumi Miyauchi Kazunori Shimada Takeshi Kurata Hitoshi Sato Hiroyuki Daida | 2004 | Circulation2004，，9： | 1 |
| 13 | Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography显示文摘To minimize radiation risk,dose reduction is important in the diagnostic and therapeutic applications of computed tomography(CT).However,image noise degrades image quality owing to the reduced X-ray dose and a possible unacceptably reduced diagnostic performance.Deep learning approaches with convolutional neural networks(CNNs)have been proposed for natural image denoising;however,these approaches might introduce image blurring or loss of original gradients.The aim of this study was to compare the dose-dependent properties of a CNN-based denoising method for low-dose CT with those of other noise-reduction methods on unique CT noise-simulation images.To simulate a low-dose CT image,a Poisson noise distribution was introduced to normal-dose images while convoluting the CT unit-specific modulation transfer function.An abdominal CT of 100 images obtained from a public database was adopted,and simulated dose-reduction images were created from the original dose at equal 10-step dose-reduction intervals with a final dose of 1/100.These images were denoised using the denoising network structure of CNN(DnCNN)as the general CNN model and for transfer learning.To evaluate the image quality,image similarities determined by the structural similarity index(SSIM)and peak signal-to-noise ratio(PSNR)were calculated for the denoised images.Significantly better denoising,in terms of SSIM and PSNR,was achieved by the DnCNN than by other image denoising methods,especially at the ultra-low-dose levels used to generate the 10%and 5%dose-equivalent images.Moreover,the developed CNN model can eliminate noise and maintain image sharpness at these dose levels and improve SSIM by approximately 10%from that of the original method.In contrast,under small dose-reduction conditions,this model also led to excessive smoothing of the images.In quantitative evaluations,the CNN denoising method improved the low-dose CT and prevented over-smoothing by tailoring the CNN model. | Keisuke Usui Koichi Ogawa Masami Goto Yasuaki Sakano Shinsuke Kyougoku Hiroyuki Daida | 2021 | Visual Computing for Industry,Biomedicine,and Art2021，4，1： | 0 |
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